Triple
T38047090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Itajaí |
E949646
|
entity |
| Predicate | hasApproximateLocationLatitude |
P10760
|
FINISHED |
| Object | about -26.9 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about -26.9 | Statement: [Port of Itajaí, hasApproximateLocationLatitude, about -26.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateLocationLatitude Context triple: [Port of Itajaí, hasApproximateLocationLatitude, about -26.9]
-
A.
hasApproximateLocation
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
-
B.
hasApproximateCoordinates
chosen
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
C.
exactLocationKnown
Indicates that the precise geographic or spatial position of an entity is known and specified.
-
D.
hasApproximateNumberOfLocations
Indicates that an entity is associated with an estimated or approximate count of locations, rather than an exact number.
-
E.
landingLatitudeApprox
Indicates an approximate geographic latitude at which a landing event occurs.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: May 3, 2026, 4:20 p.m.